EJCTS Click here to locate an Ethicon representative
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Personal Folders
Right arrow Download to citation manager
Right arrow Author home page(s):
Philippe Gersbach
Ludwig Karl von Segesser
Right arrow Permission Requests
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Gersbach, P.
Right arrow Articles by von Segesser, L. K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Gersbach, P.
Right arrow Articles by von Segesser, L. K.
Related Collections
Right arrow Cardiac - other

Eur J Cardiothorac Surg 2006;29:466-472
© 2006 Elsevier Science NL

Are there accurate predictors of long-term vital and functional outcomes in cardiac surgical patients requiring prolonged intensive care?

Philippe Gersbach a , * , Hendriks Tevaearai a , Jean-Pierre Revelly b , Pierre Bize a , René Chioléro b , Ludwig Karl von Segesser a

a Department of Cardiovascular Surgery, University Hospital Lausanne, Switzerland
b Surgical Intensive Care Unit, University Hospital Lausanne, Switzerland

Received 23 August 2005; received in revised form 23 December 2005; accepted 28 December 2005.

* Corresponding author. Address: Department of Cardiovascular Surgery, Centre Hospitalier Universitaire Vaudois (CHUV), 1011 Lausanne, Switzerland. Tel.: +41 21 314 23 18; fax: +41 21 314 22 78. (Email: Philippe.Gersbach{at}chuv.hospvd.ch).


    Abstract
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 
Background and objective: The decision to maintain intensive treatment in cardiac surgical patients with poor initial outcome is mostly based on individual experience. The risk scoring systems used in cardiac surgery have no prognostic value for individuals. This study aims to assess (a) factors possibly related to poor survival and functional outcomes in cardiac surgery patients requiring prolonged (≥ 5 days) intensive care unit (ICU) treatment, (b) conditions in which treatment withdrawal might be justified, and (c) the patient's perception of the benefits and drawbacks of long intensive treatments. Methods: The computerized data prospectively recorded for every patient in the intensive care unit over a 3-year period were reviewed and analyzed (n = 1859). Survival and quality of life (QOL) outcomes were determined in all patients having required ≥5 consecutive days of intensive treatment (n = 194/10.4%). Long-term survivors were interviewed at yearly intervals in a standardized manner and quality of life was assessed using the dependency score of Karnofsky. No interventions or treatments were given, withhold, or withdrawn as part of this study. Results: In-hospital, 1-, and 3-year cumulative survival rates reached 91.3%, 85.6%, and 75.1%, respectively. Quality of life assessed 1 year postoperatively by the score of Karnofsky was good in 119/165 patients, fair in 32 and poor in 14. Multivariate logistic regression analysis of 19 potential predictors of poor outcome identified dialysis as the sole factor significantly (p = 0.027) – albeit moderately – reducing long-term survival, and sustained neurological deficit as an inconstant predictor of poor functional outcome (p = 0.028). One year postoperatively 0.63% of patients still reminded of severe suffering in the intensive station and 20% of discomfort. Only 7.7% of patients would definitely refuse redo surgery. Conclusions: This study of cardiac surgical patients requiring ≥5 days of intensive treatment did not identify factors unequivocally justifying early treatment limitation in individuals. It found that 1-year mortality and disability rates can be maintained at a low level in this subset of patients, and that severe suffering in the ICU is infrequent.

Key Words: Cardiac surgery • Treatment withdrawal • Early and late survival • Quality of life • Predictors of poor outcome • Dialysis • Sustained neurological deficit


    1. Introduction
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 
Large series report less than 5% mortality and 25–45% complications after heart surgery [1,2]. In-hospital mortality is linked with considerable but timely limited human and financial consequences. In contrast, the burden of severe long-term disability persists over time. At the present time, patients in disastrous cardiac and general condition are increasingly referred for cardiac surgery. These patients are at risk of prolonged intensive care unit (ICU) treatments. Obviously, only low in-hospital and mortality rates as well as a fair quality of life (QOL) in long-term survivors can justify the human and socio-economical consequences of these treatments. Therefore, cessation of life-supporting measures must be considered whenever treatment becomes futile or is opposed to patient and family wishes. However, various lines of evidence indicate that the approach of end-of-life decisions differs considerably among healthcare workers [3–5], that individual experience is selective and influenced by recent or anecdotal cases [6], and that the physician's opinion tends to prevail over that of patients [7].

The risk-scoring systems commonly used in cardiac surgery are chiefly based on preoperative risk factors and, thus, not able to identify changing mortality and morbidity risks in patients with unexpected perioperative complications. Moreover, these systems have been developed to improve operative decisions as well as quality comparisons and cost–benefit analysis [8]; their predictive value is much higher for groups than for individuals [8–10]. None of these scores has been conceived for end-stage prospective decisions or to facilitate decisions about individuals [9]. The recent comparison of six scoring systems commonly used in heart surgery has also evidenced the poor predictive value of each of these scores for morbidity [10]. Hence, at present time, the decision to limit treatment in cardiac surgical patients with apparently poor recovery expectancy is based on experience instead of evidence.

The objectives of this study are, first, to identify factors possibly related to poor prognosis in cardiac surgical patients with difficult initial outcome, second, to identify conditions in which treatment withdrawal might be justified and, third, to assess the patient's perception of the benefits and drawbacks of long ICU treatments.


    2. Patients and methods
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 
2.1 Settings and routine procedures
The CHUV is an 870-bed teaching hospital with a single surgical ICU of 17 beds and a high patient turnover. The cardiac surgical department has six fully monitored intermediate care beds; telemetry is available on the ward. Patients operated on cardiopulmonary bypass (CPB) are routinely admitted in the ICU and discharged to the intermediate cardiac surgical care unit within 24–36 h unless they further require mechanical ventilation, intra aortic balloon pump (IABP) and/or important inotropic support (either any dose of milrinone [Corotrop® Sanofi-Synthélabo, Paris, France] or Dopamine [Dopamin® B. Braun, Melsungen, Germany]/Dobutamine [Dobutrex® Lilly, Indianapolis, USA] in excess of 8 µg/(kg min) or over 10 µg/(kg min), norepinephrine [Noradrenaline® Sintetica SA, Mendrisio, Switzerland]). Patients with deteriorating renal function are kept in the ICU until blood creatinin has peaked or until renal replacement therapy has been initiated.

In conformity with the recommendations of the SUPPORT study [11], conscious patients and families receive frequent information on present condition and prognosis; they are included in discussions on major treatment decisions. No interventions or treatments were given, withhold, or withdrawn as part of this study.

2.2 Data collection
Cardiac surgical patients having required ≥5 consecutive days in the ICU over a 3-year period were identified from the ICU database. Heart transplant recipients and patients with cardiac tumors were excluded. Nineteen among 44 parameters prospectively recorded for each patient as part of our clinical information system (Claris File Maker Pro v2.1) were selected as potential predictors of poor vital and functional outcomes:

- Patient-related factors: age, gender, ejection fraction <30%, neurological impairment (defined as a disease severely affecting day-to-day functioning or ambulation), chronic obstructive pulmonary disease (COPD) on bronchodilators, insulin-requiring diabetes, obesity (BMI > 30), dialysis-dependent renal failure, nature of surgical procedure, priority, and redo surgery.
- Operative-related factors: cross-clamp and CPB times.
- Life-supporting procedures: mechanical ventilator support ≥5 days, renal replacement therapy, IABP, surgical revision, cardiopulmonary resuscitation, and electrical counter shock for life-threatening arrhythmias.

The choice of these variables was founded on distinct criteria:

- Patient-related factors were selected from a review of three major risk scoring system for cardiac surgical patients: the Parsonnet score, the Euroscore, and the Society of Thoracic Surgeons (STS) national database. Significant variables in at least two systems were selected.
- Life-supporting procedures required by persistent life-threatening failure in one organ system were selected because this condition has been shown to chiefly determine the patient's outcome [12–15].
- Ischemic and CPB times were included in the analysis because of their unquestionable deleterious effects on both physiology and the clinical outcome [16].

2.3 Investigations
A single independent physician collected all follow-up data. Patients and, whenever necessary, their relatives and home practitioners were interviewed by phone 1, 2, and 3 years after surgery. This interview was based on both the dependency score of Karnofsky [17] and a simplified version of the SF 12 TM Health Survey, allowing collection of standard information on:

- persistent disabilities and/or need for assistance,
- complications and diseases after hospital discharge,
- physical condition 1 year postoperatively,
- psychological condition 1 year postoperatively,
- self-assessed quality of life,
- difference between preoperative and present general condition (improved, stable, worsened),
- frequency and severity of discomfort and pain during ICU treatment, and
- attitude towards a hypothetical redo operation.

2.4 Outcomes
Main outcome measurements included: (a) early mortality, defined as any mortality occurring in the hospital or within 30 days, (b) annual postoperative mortality rate over 3 years, (c) degree of disability 1 year postoperatively, and (d) quality of life 1 year after surgery.

The dependency score of Karnofsky (Table 1 ) allowed differentiating between patients with optimal (K 100) or good (K 90) recovery after 1 year and those with any kind of persistent disability (K ≤ 80), regardless of their preoperative condition.


View this table:
[in this window]
[in a new window]
 
Table 1. Main features of the Karnofsky Performance Status [14]
 
2.5 Characteristics of follow-up
Follow-up of hospital survivors ranged from 12 to 48 months (average 30 months corresponding to 485 patient-years). The response rate for the first interview reached 98.8%; missing data (two patients) were censored at hospital discharge.

2.6 Statistical analysis
Descriptive statistics were used to summarize the demographic and clinical characteristics of the population. Values are given as mean ± SD. Two major outcomes of interest were considered for comparative analysis: the survival and the long-term dependency. Differences between continuous variables were assessed by the unpaired Student's t-test. Categorical variables were compared using the {chi} 2-test. All tests were two-tailed and p values ≤0.05 were considered significant. Finally, suitable parameters were considered for a multivariate logistic regression analysis to identify independent risk factors. Analyses were performed using the statistical software package JMP 3.1 (SAS Institute Inc., Cary, NC, USA).


    3. Results
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 
Of the 1859 consecutive adult patients operated on cardiopulmonary bypass over a 3-year period in a single institution, 194 (10.4%) required 5–22 consecutive days of ICU treatment (mean 7.5 ± 3.4 days, median 7 days). The risk profile of these patients and the distribution of the surgical procedures are detailed in Tables 2 and 3 . Table 3 shows that the risk of long ICU stay depends mostly on the complexity of the surgical procedure. Oppositely, neither high surgical priority (9.8% of patients in the prolonged group received urgent (n = 12) or emergent (n = 7 surgery)) nor cross-clamp and CPB times (80 ± 33 min and 122 ± 53 min, respectively, in the prolonged group) was significantly correlated with long ICU treatment.


View this table:
[in this window]
[in a new window]
 
Table 2. Preoperative risk factors of 1859 CPB patients
 

View this table:
[in this window]
[in a new window]
 
Table 3. Surgical procedures
 
3.1 Mortality
(1) Early mortality: Of the 194 patients in the study group, 17 (8.75%) died in the hospital or within 30 days. The causes of these deaths were as follows: cardiogenic (n = 8) or septic shock (n = 3), pulmonary embolism (n = 3), rhabdomyolysis (n = 1), and support withdrawal (n = 2) at postoperative day 6 and day 9, because of poor expected outcome after devastating stroke in the first case and large mesenterial infarction in the second one. In comparison, the mortality among the 1655 cardiac surgical patients having required shorter ICU treatment during the same period of time was 2.0% (p < 0.001). Table 4 details the influence of various life-supporting measures on mortality. Prolonged assisted ventilation, renal replacement therapy, surgical revision and, to a less extent, intra aortic balloon pump were all associated with increased 30-day mortality. However, only dialysis (p < 0.001) and prolonged ventilation (p < 0.01) emerged as independent predictors of early death. ICU length of stay for non-survivors despite ongoing full ICU treatment averaged 10.6 ± 5.2 days; if life support had been withdrawn at the fifth ICU day in all patients who ultimately died in the hospital, only 96 days of ICU resources would have been saved.
(2) Mid-term survival: Nineteen of the 177 early survivors died during follow-up, which accounts for cumulative survival rates of 85.6%, 80.9%, and 75.1% at 1, 2, and 3 years, respectively. The causes of late deaths are presented in Table 5. Neither the gender nor the type of surgical procedure, CPB and aortic cross-clamping times were significantly related to mortality outcomes. Age above 75 years was associated with lower (p = 0.05) mid-term survival (Table 6). However, seven out of eight fatal events in these elderly patients occurred more than 1 year postoperatively, and four deaths were not clearly related to previous cardiac and ICU treatment (two cancers, one traffic accident, one vascular amputation).
(3) Overall mortality: Dialysis-dependent renal dysfunction was the sole factor detrimentally affecting overall survival in the study group (p < 0.01). Nonetheless, 60% of the 24 patients having required any kind of renal replacement therapy after surgery (including six patients with preoperative chronic dialysis) were still alive and in a fair to good condition 1 year later.


View this table:
[in this window]
[in a new window]
 
Table 4. Influence of various life-supporting procedures on early and mid-term mortality rates
 

View this table:
[in this window]
[in a new window]
 
Table 5. Delay and cause of 19 late deaths after prolonged ICU treatment
 

View this table:
[in this window]
[in a new window]
 
Table 6. Influence of age on early and mid-term mortality
 
3.2 Neurological complications
Twelve (6.2%) severe neurological complications occurred in the hospital: 11 strokes (one fatal) and one paraplegia. All occurred within 7 days of the operation.

3.3 Return in the ICU
Seven patients (4%) needed to be readmitted in the ICU because of respiratory failure (n = 4), severe heart failure (n = 2), and redo sternotomy for mediastinitis (n = 1). All survived and were discharged from the ICU within 3–11 days.

Hospital readmission within 1 year occurred in 19 one-year survivors (12%). It was unpredictable in nine patients suffering from cardiac failure (n = 4), pneumonia (n = 2), late stroke (n = 1), severe chest pain (n = 1), and trauma (n = 1). Furthermore, two patients received non-emergent surgery for non-related diseases. Oppositely, readmission had been planned before the heart operation in eight patients with concomitant cardiac and non-cardiac diseases (two aortic aneurysms, three cancers, three joint disease).

3.4 Quality of life
Functional and subjective results 1 year postoperatively were obtained from 165 of the 167 survivors (Fig. 1 ). Seventy-two percent had no physical symptoms or minimal physical symptoms (K scores of 100 and 90), 19% had signs of disease (K score of 80) but no important limitations of their activity, 6% were disabled (K score of 70–50), and 3% were severely handicapped (K score < 50). Disability, defined by K score less than 80, was neither significantly related to ICU treatments (Table 7 ) nor to patient profile, CPB and cross-clamp times or type of surgery. The sole predictor (p < 0.05) for a lasting QOL deterioration was the occurrence of a perioperative neurological accident. Conversely, perioperative neurological events were implicated in 11 of the 14 cases of long-term disability.


Figure 1
View larger version (15K):
[in this window]
[in a new window]
 
Fig. 1. Distribution of K scores in 165 one-year survivors.

 

View this table:
[in this window]
[in a new window]
 
Table 7. Influence of various life-supporting procedures on late functional outcome measured by the K score 1 year after discharge
 
At 1 year, 132 patients (80%) considered themselves in better condition as compared to their preoperative situation, 19 felt no change (11.5%) and 14 reported a degradation of their general living conditions (8.5%). However, deterioration was obviously related with previous in-hospital treatment in only nine cases (four chronic cardiac failures, two severe residual chest pain, two strokes, and one paraplegia); in the remaining five cases deterioration was caused – or worsened – by intercurrent diseases (two cancers, two vascular amputations, one disabling arthrosis). Oppositely, 15 patients reported global improvement in spite of substantial postoperative sequelae such as eight persistent neurological deficit, two severe residual chest pain, one tracheal stenosis after tracheotomy, one limb claudication after intra aortic balloon pump, two worsening of a shoulder arthrosis, and one deterioration of multiple sclerosis.

From a socio-economic point of view, most patients lived at home without any assistance (89.4%) or with (6.4%) help of relatives, while a small minority had to be placed in nursing homes (3%) or remained hospitalized (1.2%).

3.5 Pain and discomfort
The burden of ICU treatment could no longer be accurately quantified 1 year after discharge but important pieces of information could still be collected: Despite an apparently liberal use of opioids and sedatives, one patient (0.6%) still reminded of severe pain and 33 others (19.8%) of discomfort due to: permanent noise and illumination (n = 17), recurrent nightmares for months (n = 12), panic (n = 2), conflict with the nursing staff (n = 1), and amnesia (n = 1). Indeed, after such a long period of time, 85% of these discomforts were rated minor by the patients. Accordingly, 81.4% of survivors stated that they would accept redo surgery if necessary, 10.9% would hesitate, and only 7.7% would definitely refuse.


    4. Discussion
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 
Reliable prognostic information and the patient perception of his situation have been found the most important factors for physicians facing life-support decisions for critically ill patients [11]. Our study has documented the absence of reliable predictive factors of ominous survival or functional outcomes in cardiac surgical patients requiring ≥5 days of ICU treatment.

There is no consensus on the definition of prolonged ICU treatment. The following issues have guided our choice of 5 days: (A) The analysis of end-of-life practices in 31,417 general patients from various European ICUs [4] found a median ICU stay of 4 days and a median delay of 2.8 days until the first treatment limitation was decided. (B) It has been established that the worst ICU patients tend to die within 5 days [13]. (C) ICU mortality remains elevated for several weeks: the SUPPORT study [11] found a median number of 14 ICU days before death among surgical patients. (D) All cardiac patients still under ICU treatment at the fifth postoperative day have at least one severe organ system failure [18]; at this time the risk of poor outcome depends much more on the evolution of this organ failure than on preprocedural patient risk factors [19]. (E) Decisions of treatment withdrawal need to be founded and limited to patients with no chance of decent recovery; several days of full treatment allow accurate estimation of the patient's overall prognosis and response to treatment; moreover, full treatment for several days helps convincing the patient's surrogates that money saving is not the actual reason for treatment withdrawal.

On the other hand, two recent studies [20,21] have concluded that outcome predictions based on organ dysfunction scores are not reliable during the first 14 days following cardiac surgery. Unfortunately, this delay makes decisions of treatment limitation much too late to substantially reduce the amount of unnecessary patient suffering and waste of medical resources.

Survival in this cohort of cardiac surgical patients requiring prolonged ICU treatment is higher than those predicted by nonspecific preoperative risk assessment systems; likewise, it compares favorably with the outcome of general ICU patients. These differences can be ascribed to the fact that cardiac surgical patients initially present with a correctible organ failure. The rather favorable mid-term outcomes and the high proportion of patients able to resume independent life (89%) demonstrate that prolonged ICU treatment does neither provoke an accumulation of mid-term medical disasters nor induces tremendous hidden socio-economical costs.

QOL is increasingly regarded as central to the definition of success [18,22], or even as the most important outcome of cardiac surgery [23]. Crude survival is considered a poor marker of treatment efficiency for two reasons: First, low mortality rates are linked with limited statistical power and, thus, not qualified for outcome-directed quality assessment studies [24]; second, patients with the worst preoperative condition are those who benefit more from the operation [2]. Unfortunately, however, QOL is an observer-dependent concept and the scores currently used to assess QOL scarcely take into account the patients opinion; moreover, it has been suggested that physicians tend to be too pessimistic regarding prognoses and to provide more extensive treatments than they would choose for themselves [11]. However, there are no indications from this study that prolonged ICU treatment produced major sufferings in a large number of patients, nor that survival was achieved at the expense of the patient's quality of life [19].

Unrelieved pain and discomfort are still known problems of ICU management: The SUPPORT study [11] found moderate to severe pain occurring at least half of the time in 12–32% of critically ill patients; self-assessment in real time by 100 cancer patients from various medical ICUs revealed pain and discomfort in nearly 75% of cases [25]. The low rate of complaints from our patients is mostly attributable to recall bias and minimization by patients interviewed for the first time 1 year after treatment. Nonetheless, these recalls still indicate that pain and discomfort have been managed but not eliminated; accordingly, further improvement in communication, patient comfort, as well as in analgesic and sedative therapies, are still needed. Finally, the emergence of noise and permanent lightening as the main source of discomfort underscores the absolute necessity to minimize these factors, especially at nighttime.

Resource consumption is another important issue of ICU treatment analysis. It has been reported that 13.3% patient days – and 16.7% of total ICU expenditure – are invested in non-survivors [14]. These figures do not apply for cardiac surgical patients: we found that treatment cessation at the fifth ICU day in all patients who ultimately died in the hospital would have reduced by 1.85% the ICU occupation time by cardiac surgery patients. A similar analysis by Holmes et al. [19] found comparable overall potential savings in ICU bed-days.


    5. Limitations of the study
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 

(1) Our main purpose was to identify possible predictors of poor outcome in operated cardiac patients requiring prolonged ICU treatment. Therefore, this study was not designed to allow refined comparisons between the pre- and the postoperative functional condition of cardiac surgical patients.
(2) The K score was chosen because it focuses on functional disability. More sophisticated QOL scoring systems measuring items such as emotional burden, poor social integration, family disturbances, or decreased sexual performances were considered not pertinent for treatment withdrawal decisions.
(3) A medium-sized single-center study allows avoiding bias induced by inhomogeneous concepts of treatment. It might be argued that a wide multicentric study could identify additional markers of poor outcome. However, systems needing a huge number of observations to reach significance may retain some prognostic value for cohorts, but they certainly do not fit for individual treatment withdrawal decisions. Moreover, it can be calculated that a sample size of over 32,500 patients would be necessary to evidence a relationship between risk factors occurring in around 3% of CPB patients – such as gastrointestinal complications or severe hematological disease – and a twofold increase in global mortality or disability rate. And, it must be considered that at present time patients who are at increased risk of bleeding are mostly operated off pump.


    6. Conclusions
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 
Accurate early predictors of poor vital and functional outcomes are still lacking for cardiac surgery patients requiring prolonged and complex ICU management. Acute neurological damage is the sole factor increasing the risk of long-term disability. In the initial phase of ICU treatment, prospect for functional improvement is still high. Therefore, several days of full ICU treatment should be allowed before treatment limitation is decided.


    References
 Top
 Abstract
 1. Introduction
 2. Patients and methods
 3. Results
 4. Discussion
 5. Limitations of the...
 6. Conclusions
 References
 

  1. Welsby IJ, Bennett-Guerrero E, Atwell D, White WD, Newman MF, Smith PK, Mythen MG. The association of complication type with mortality and prolonged stay after cardiac surgery with cardiopulmonary bypass. Anesth Analg 2002;94:1072-1078.[Abstract/Free Full Text]
  2. Trouillet JL, Scheimberg A, Vuagnat A, Fagon JY, Chastre J, Gibert C. Long-term outcome and quality of life of patients requiring multidisciplinary intensive care unit admission after cardiac operations. J Thorac Cardiovasc Surg 1996;112:926-934.[Abstract/Free Full Text]
  3. Canadian Critical Care Trials Group. Confidence in life-support decisions in the intensive care unit: a survey of healthcare workers. Crit Care Med 1998;26:44-49.[CrossRef][Medline]
  4. Ethicus Study Group. End-of-life practices in European intensive care units. J Am Med Assoc 2003;290:790-797.[Abstract/Free Full Text]
  5. Robert Wood Johnson Foundation Critical Care End-of-Life Peer Workgroup Members. Quality indicators for end-of-life care in the intensive care unit. Crit Care Med 2003;31:2255-2262.[CrossRef][Medline]
  6. Pons JMV, Borras JM, Espinas JA, Moreno W, Cardona M, Granados A. Subjective versus statistical model assessment of mortality risk in open heart surgery. Ann Thorac Surg 1999;67:635-640.[Abstract/Free Full Text]
  7. Orentlicher D. The illusion of patient choice in end-of-life decisions. J Am Med Assoc 1992;267:2101-2104.[CrossRef][Medline]
  8. Daley J, Jencks S, Draper D, Lenhart G, Thomas N, Walker J. Predicting hospital-associated mortality for medicare patients. A method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure. J Am Med Assoc 1988;260:3617-3624.[Abstract]
  9. Kurki TS, Häkkinen U, Lauharanta J, Rämo J, Leijala M. Evaluation of the relationship between preoperative risk scores, postoperative and total length of stays and hospital costs in coronary bypass surgery. Eur J Cardiothorac Surg 2001;20:1183-1187.[Abstract/Free Full Text]
  10. Geissler HJ, Hölzl P, Marohl S, Kuhn-Régnier F, Mehlhorn U, Südkamp M, de Vivie EB. Risk stratification in heart surgery: comparison of six score systems. Eur J Cardiothorac Surg 2000;17:400-406.[Abstract/Free Full Text]
  11. The Support Principal Investigators for the Support Project. A controlled trial to improve care for seriously ill hospitalized patients: the study to understand the prognoses and preferences for outcomes and risks of treatments (SUPPORT). J Am Med Assoc 1995;274:1591–8..
  12. Nashef SAM, Roques F, Hammill BG, Peterson ED, Michel P, Grover FL, Wyser RKH, Ferguson TB. Validation of European system for cardiac operative risk evaluation (EUROSCORE) in North American cardiac surgery. Eur J Cardiothorac Surg 2002;22:101-105.[Abstract/Free Full Text]
  13. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. Prognosis in acute organ-system failure. Ann Surg 1985;202:685-693.[Medline]
  14. Atkinson S, Bihari D, Smithies M, Daly K, Mason R, McColl I. Identification of futility in intensive care. Lancet 1994;344:1203-1205.[CrossRef][Medline]
  15. Chang RWS, Jacobs S, Lee B. Predicting outcome among intensive care unit patients using computerized trend analysis of daily APACHE II scores corrected for organ system failure. Intensive Care Med 1988;14:558-566.[CrossRef][Medline]
  16. Kirklin JK, Westaby S, Blackstone EH, Kirklin JW, Chenowith DE, Pacifico AD. Complement and the damaging effects of cardiopulmonary bypass. J Thorac Cardiovasc Surg 1983;86:845-852.[Abstract]
  17. Grieco A, Long CJ. Investigation of the Karnofsky Performance Status as a measure of quality of life. Health Psychol 1984;3:129-142.[CrossRef][Medline]
  18. Nielsen D, Sellgren J, Ricksten SE. Quality of life after cardiac surgery complicated by multiple organ failure. Crit Care Med 1997;25:52-57.[CrossRef][Medline]
  19. Holmes L, Loughead K, Treasure T, Gallivan S. Which patients will not benefit from further intensive care after cardiac surgery?. Lancet 1994;344:1200-1202.[CrossRef][Medline]
  20. Williams MR, Wellner RB, Hartnett EA, Thornton B, Kavarana MN, Mahapatra R, Oz MC, Sladen M. Long-term survival and quality of life in cardiac surgical patients with prolonged intensive care unit length of stay. Ann Thorac Surg 2002;73:1472-1478.[Abstract/Free Full Text]
  21. Ryan TA, Rady MY, Bashour A, Leventhal M, Lytle B, Starr NJ. Predictors of outcome in cardiac surgical patients with prolonged intensive care stay. Chest 1997;112:1035-1042.[Abstract/Free Full Text]
  22. Testa MA, Simonson DC. Assessment of quality-of-life outcomes. NEJM 1996;334:835-840.[Free Full Text]
  23. Prevost S, Deshotels A. Quality of life after cardiac surgery. AACN Clin Issues Crit Care Nurs 1993;4:320-328.[Medline]
  24. Hammermeister KE, Shroyer AL, Sethi GK, Grower FL. Why it is important to demonstrate linkages between outcomes of care and processes and structures of care. Med Care 1995;33(Suppl.):OS5-OS16.[Medline]
  25. Nelson JE, Meier DE, Oei EJ, Neierman DM, Senzel RS, Mamfredi PL, Davis SM, Morrison S. Self-reported symptom experience of critically ill cancer patients receiving intensive care. Crit Care Med 2001;29:277-282.[CrossRef][Medline]



This article has been cited by other articles:


Home page
Br J AnaesthHome page
N. Conlon, B. O'Brien, G. P. Herbison, and B. Marsh
Long-term functional outcome and performance status after intensive care unit re-admission: a prospective survey
Br. J. Anaesth., February 1, 2008; 100(2): 219 - 223.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Personal Folders
Right arrow Download to citation manager
Right arrow Author home page(s):
Philippe Gersbach
Ludwig Karl von Segesser
Right arrow Permission Requests
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Gersbach, P.
Right arrow Articles by von Segesser, L. K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Gersbach, P.
Right arrow Articles by von Segesser, L. K.
Related Collections
Right arrow Cardiac - other


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
ANN THORAC SURG ASIAN CARDIOVASC THORAC ANN EUR J CARDIOTHORAC SURG
J THORAC CARDIOVASC SURG ICVTS ALL CTSNet JOURNALS